{"title":"MIMO无线通信系统中数据速率与信噪比的分析","authors":"Yoonill Lee","doi":"10.1109/EIT.2018.8500091","DOIUrl":null,"url":null,"abstract":"This paper develops a simple algorithm to estimate signal power to noise power ratio (SNR) in Multiple Input Multiple Output (MIMO) systems. The given data rates in the Modulation Coding Scheme (MCS) are used as a reference to estimate corresponding SNRs with different transmit power disparities and channel bandwidths. Path loss is accounted for by using the IEEE break point path loss model.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Data Rate vs. SNR in MIMO Wireless Communication Systems\",\"authors\":\"Yoonill Lee\",\"doi\":\"10.1109/EIT.2018.8500091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a simple algorithm to estimate signal power to noise power ratio (SNR) in Multiple Input Multiple Output (MIMO) systems. The given data rates in the Modulation Coding Scheme (MCS) are used as a reference to estimate corresponding SNRs with different transmit power disparities and channel bandwidths. Path loss is accounted for by using the IEEE break point path loss model.\",\"PeriodicalId\":188414,\"journal\":{\"name\":\"2018 IEEE International Conference on Electro/Information Technology (EIT)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Electro/Information Technology (EIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT.2018.8500091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Electro/Information Technology (EIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2018.8500091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Data Rate vs. SNR in MIMO Wireless Communication Systems
This paper develops a simple algorithm to estimate signal power to noise power ratio (SNR) in Multiple Input Multiple Output (MIMO) systems. The given data rates in the Modulation Coding Scheme (MCS) are used as a reference to estimate corresponding SNRs with different transmit power disparities and channel bandwidths. Path loss is accounted for by using the IEEE break point path loss model.